专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

21. 发明申请

US20090199015A1 METHOD FOR PROTECTING AUDIO CONTENT 失效
标题翻译：保护音频内容的方法
公开(公告)号：US20090199015A1
公开(公告)日：2009-08-06
申请号：US12023103
申请日：2008-01-31
申请人： Raghuram Krishnapuram , Nandita J. Mahajan , L. Venkat Subramaniam , Vivek Tyagi , Tanveer A. Faruquie
发明人： Raghuram Krishnapuram , Nandita J. Mahajan , L. Venkat Subramaniam , Vivek Tyagi , Tanveer A. Faruquie
IPC分类号： H04K1/04 , G06F12/14
CPC分类号： H04K1/04 , G06F21/6245 , G06F2221/2141
摘要： Techniques for protecting information in an audio file are provided. The techniques include obtaining an audio file, detecting information bearing one or more segments in a speech signal, wherein the information comprises information sought for protection, encrypting the information sought for protection by scrambling the one or more segments using a scrambling filter, and selectively decrypting an amount of the encrypted information, wherein the amount of the encrypted information to be decrypted depends on user access privilege, and wherein selectively decrypting the amount of the encrypted information protects said amount of the encrypted information. Techniques are also provided for protecting information in an audio file.
摘要翻译：提供了用于保护音频文件中的信息的技术。所述技术包括：获取音频文件，检测携带语音信号中的一个或多个段的信息，其中所述信息包括寻求保护的信息，通过使用加扰滤波器对所述一个或多个段进行加扰来加密寻求保护的信息，以及选择性地解密加密信息的量，其中要被解密的加密信息的量取决于用户访问权限，并且其中选择性地解密加密信息的量保护所述加密信息量。还提供了用于保护音频文件中的信息的技术。

22. 发明授权

US07542960B2 Interpretable unsupervised decision trees 失效
标题翻译：可解释的无监督决策树
公开(公告)号：US07542960B2
公开(公告)日：2009-06-02
申请号：US10320959
申请日：2002-12-17
申请人： Jayanta Basak , Raghuram Krishnapuram
发明人： Jayanta Basak , Raghuram Krishnapuram
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06 , G06F17/30
CPC分类号： G06K9/6282
摘要： An unsupervised decision tree is constructed, involving the data records or patterns that do not posses any class labels. The objective of clustering or segmenting the data set is to discover subsets of data records that possess homogeneous characteristics. In the context of clustering, namely grouping or segmenting data sets without any supervised information, an interpretable decision tree is recognized as beneficial in various contexts such as customer profiling, text mining, and image and video categorization.
摘要翻译：构建了无监督决策树，涉及不具有任何类标签的数据记录或模式。数据集的聚类或分割的目的是发现具有均匀特征的数据记录子集。在聚类的背景下，即没有任何监督信息的分组或分段数据集，可解释的决策树被认为在诸如客户分析，文本挖掘和图像和视频分类的各种上下文中是有益的。

23. 发明授权

US06925460B2 Clustering data including those with asymmetric relationships 有权
标题翻译：聚类数据，包括具有不对称关系的数据
公开(公告)号：US06925460B2
公开(公告)日：2005-08-02
申请号：US09815616
申请日：2001-03-23
申请人： Krishna Kummamuru , Raghuram Krishnapuram , Pradeep Kumar Dubey
发明人： Krishna Kummamuru , Raghuram Krishnapuram , Pradeep Kumar Dubey
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30719 , G06F17/3071 , Y10S707/99933 , Y10S707/99935
摘要： The present invention relates to a method, system and computer program product for clustering data points and its application to text summarization, customer profiling for web personalization and product cataloging.The method for clustering data points with defined quantified relationships between them comprises the steps of obtaining lead value for each data point either by deriving from said quantified relationships or as given input, ranking each data point in a lead value sequence list in descending order of lead value, assigning the first data point in said lead value sequence list as the leader of the first cluster, and considering each subsequent data point in said lead value sequence list as a leader of a new cluster if its relationship with the leaders of each of the previous clusters is less than a defined threshold value or as a member of one or more clusters where its relationship with the cluster leader is more than or equal to said threshold value. The said relationships between data points are symmetric or asymmetric. Similarly, system and computer program product have also been claimed.
摘要翻译：本发明涉及用于聚类数据点的方法，系统和计算机程序产品及其应用于文本摘要，用于web个性化和产品编目的客户分析。用于对其中具有定义的量化关系的数据点进行聚类的方法包括以下步骤：通过从所述量化关系导出或作为给定输入来获取每个数据点的引导值，以引导值序列表中的每个数据点按铅的降序排列将所述引导值序列列表中的第一数据点分配为第一簇的引导符，并且如果其与每个的引导者的关系，则将所述引导值序列列表中的每个后续数据点视为新簇的引导者先前的簇小于定义的阈值，或作为其与簇首的关系大于或等于所述阈值的一个或多个簇的成员。数据点之间的关系是对称的或不对称的。类似地，系统和计算机程序产品也被要求。

24. 发明授权

US09495275B2 System and computer program product for deriving intelligence from activity logs 有权
标题翻译：用于从活动日志导出智能的系统和计算机程序产品
公开(公告)号：US09495275B2
公开(公告)日：2016-11-15
申请号：US12111356
申请日：2008-04-29
申请人： Prasad M. Deshpande , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan
发明人： Prasad M. Deshpande , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan
IPC分类号： G06F11/34
CPC分类号： G06F11/3476
摘要： Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user.
摘要翻译：提供了用于隔离至少一个多任务用户的一个或多个日志以导出所述至少一个多任务用户的至少一个行为模式的技术。这些技术包括获得至少一个动作日志，配置信息，域知识，至少一个任务历史和开放任务存储库信息中的至少一个，将至少一个动作日志，配置信息，域知识中的至少一个与至少一个任务历史和开放任务存储库信息，以确定与一个或多个动作中的每一个相关联的任务，并且基于所述一个或多个动作来隔离所述一个或多个日志，并且使用已经被隔离导出的一个或多个日志所述至少一个多任务用户的至少一个行为模式。还提供了用于从至少一个多任务用户的至少一个活动日志导出智能以向至少一个用户提供信息的技术。

25. 发明授权

US07978853B2 System and computer program product for protecting audio content 失效
标题翻译：用于保护音频内容的系统和计算机程序产品
公开(公告)号：US07978853B2
公开(公告)日：2011-07-12
申请号：US12023110
申请日：2008-01-31
申请人： Raghuram Krishnapuram , Nandita J. Mahajan , L. Venkat Subramaniam , Vivek Tyagi , Tanveer A. Faruquie
发明人： Raghuram Krishnapuram , Nandita J. Mahajan , L. Venkat Subramaniam , Vivek Tyagi , Tanveer A. Faruquie
IPC分类号： H04N7/167
CPC分类号： H04K1/00
摘要： Techniques for protecting information in an audio file are provided. The techniques include obtaining an audio file, detecting information beating one or more segments in a speech signal, wherein the information comprises information sought for protection, encrypting the information sought for protection by scrambling the one or more segments using a scrambling filter, and selectively decrypting an amount of the encrypted information, wherein the amount of the encrypted information to be decrypted depends on user access privilege, and wherein selectively decrypting the amount of the encrypted information protects said amount of the encrypted information. Techniques are also provided for protecting information in an audio file.
摘要翻译：提供了用于保护音频文件中的信息的技术。所述技术包括：获取音频文件，检测在语音信号中跳动一个或多个分段的信息，其中所述信息包括寻求保护的信息，通过使用加扰滤波器对所述一个或多个分段进行加扰来加密寻求保护的信息，以及选择性地解密加密信息的量，其中要被解密的加密信息的量取决于用户访问权限，并且其中选择性地解密加密信息的量保护所述加密信息量。还提供了用于保护音频文件中的信息的技术。

26. 发明申请

US20110106580A1 SYSTEM AND METHOD FOR EXAMPLE BASED TARGETED MARKETING 有权
标题翻译：用于基于实例的目标营销的系统和方法
公开(公告)号：US20110106580A1
公开(公告)日：2011-05-05
申请号：US12608162
申请日：2009-10-29
申请人： Noel J. Almeida , Jayanta Basak , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan , Karthik Visweswariah
发明人： Noel J. Almeida , Jayanta Basak , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan , Karthik Visweswariah
IPC分类号： G06Q10/00 , G06F3/048 , G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0201 , G06Q30/0204
摘要： Embodiments of the invention provide retailers with the ability to employ concept-based marketing using only a few representative examples. Embodiments of the invention take seed examples, utilize the seed examples to provide an expanded list (that can be edited as desired) representative of the concept, and map the expanded list to a final set of customers to be included in a targeted marketing operation.
摘要翻译：本发明的实施例使零售商能够仅使用少数代表性的例子来使用基于概念的营销。本发明的实施例采用种子实例，利用种子示例提供代表概念的扩展列表（可以根据需要进行编辑），并将扩展列表映射到要包括在目标营销操作中的最终客户集合。

27. 发明申请

US20100332492A1 RETRIEVAL OF RELEVANT OBJECTS IN A SIMILARITY 有权
标题翻译：检索相关对象的相似性
公开(公告)号：US20100332492A1
公开(公告)日：2010-12-30
申请号：US12491485
申请日：2009-06-25
申请人： Prasad M. Deshpande , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan
发明人： Prasad M. Deshpande , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan
IPC分类号： G06F17/30
CPC分类号： G06F17/30979 , G06F17/30442 , G06F17/30463 , G06F17/30477
摘要： Techniques for retrieval of one or more relevant multi-attribute structured objects with respect to a query are provided. The techniques include receiving a query, grouping one or more attributes of one or more objects in a database into one or more groups according to how each bears a relation to the query, and using the one or more attribute groups to produce an output of one or more relevant multi-attribute structured objects in response to the query.
摘要翻译：提供了用于检索关于查询的一个或多个相关多属性结构化对象的技术。这些技术包括接收查询，根据每个与查询的关系的每一个如何将数据库中的一个或多个对象的一个或多个属性分组成一个或多个组，并且使用一个或多个属性组来产生一个或更多相关的多属性结构化对象。

28. 发明申请

US20090271800A1 SYSTEM AND COMPUTER PROGRAM PRODUCT FOR DERIVING INTELLIGENCE FROM ACTIVITY LOGS 有权
标题翻译：系统和计算机程序产品从活动日志导入智能
公开(公告)号：US20090271800A1
公开(公告)日：2009-10-29
申请号：US12111356
申请日：2008-04-29
申请人： Prasad M. Deshpande , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan
发明人： Prasad M. Deshpande , Raghuram Krishnapuram , Debapriyo Majumdar , Deepak S. Padmanabhan
IPC分类号： G06F9/46
CPC分类号： G06F11/3476
摘要： Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user.
摘要翻译：提供了用于隔离至少一个多任务用户的一个或多个日志以导出所述至少一个多任务用户的至少一个行为模式的技术。这些技术包括获得至少一个动作日志，配置信息，域知识，至少一个任务历史和开放任务存储库信息中的至少一个，将至少一个动作日志，配置信息，域知识中的至少一个与至少一个任务历史和开放任务存储库信息，以确定与一个或多个动作中的每一个相关联的任务，并且基于所述一个或多个动作来隔离所述一个或多个日志，并且使用已经被隔离导出的一个或多个日志所述至少一个多任务用户的至少一个行为模式。还提供了用于从至少一个多任务用户的至少一个活动日志导出智能以向至少一个用户提供信息的技术。

29. 发明申请

US20090150436A1 METHOD AND SYSTEM FOR CATEGORIZING TOPIC DATA WITH CHANGING SUBTOPICS 审中-公开
标题翻译：用于分类主题数据与更改子句的方法和系统
公开(公告)号：US20090150436A1
公开(公告)日：2009-06-11
申请号：US11953198
申请日：2007-12-10
申请人： Shantanu Godbole , Raghuram Krishnapuram , Shourya Roy
发明人： Shantanu Godbole , Raghuram Krishnapuram , Shourya Roy
IPC分类号： G06F17/30
CPC分类号： G06F16/355
摘要： The embodiments of the invention provide a method for the automatic identification of changing subtopics within topics. The method begins by receiving customer satisfaction data having unstructured data objects. Next, the data objects are automatically categorized into pre-defined topics, wherein the pre-defined topics do not change throughout the customer satisfaction analysis. The pre-defined topics can be automatically defined based on a history of customer satisfaction data. Following this, a clustering analysis is automatically performed to identify subtopics of the data objects within the pre-defined topics. The subtopics are more specific than the pre-defined topics, and the subtopics can change. Further, the clustering analysis can include extracting features from the data objects and grouping the features into the subtopics. Each of the subtopics includes features having a predetermined degree of similarity.
摘要翻译：本发明的实施例提供了一种用于在主题内自动识别不断变化的子主题的方法。该方法开始于接收具有非结构化数据对象的客户满意度数据。接下来，数据对象被自动分类为预定义的主题，其中预定义的主题在整个客户满意度分析中不改变。可以根据客户满意度数据的历史自动定义预定义的主题。此后，将自动执行聚类分析，以确定预定义主题内的数据对象的子主题。子主题比预定义的主题更具体，子主题可以更改。此外，聚类分析可以包括从数据对象中提取特征并将特征分组到子主题中。每个子主题包括具有预定相似度的特征。

30. 发明授权

US07516397B2 Methods, apparatus and computer programs for characterizing web resources 失效
标题翻译：用于表征网络资源的方法，设备和计算机程序
公开(公告)号：US07516397B2
公开(公告)日：2009-04-07
申请号：US10901275
申请日：2004-07-28
申请人： Sachindra Joshi , Raghuram Krishnapuram , Shourya Roy
发明人： Sachindra Joshi , Raghuram Krishnapuram , Shourya Roy
IPC分类号： G06F17/00
CPC分类号： G06F17/30864 , G06F17/30896
摘要： Methods, apparatus and computer programs are provided for characterizing Web-based information resources based on their interactions. A Web-based information resource is a single Web document or a collection of related Web documents. Unlike simple text documents, Web documents contain hyperlinks and other HTML tags. Different types of interactions, including inbound hyperlinks, outbound hyperlinks and internal links associated with a Web-based information resource, are used to characterize the Web-based information resource. A DOM tree representing the tag structure of a Web-based information resource is used to identify text items likely to be useful as context for a hyperlink anchor text, and the anchor text is combined with the context to generate a representation. The representation of Web-based information resources based on interactions can be used for clustering and classification, and in Web mining applications such as query disambiguation and automatic taxonomy generation.
摘要翻译：提供方法，装置和计算机程序，用于基于它们的相互作用来表征基于Web的信息资源。基于Web的信息资源是单个Web文档或相关Web文档的集合。与简单的文本文档不同，Web文档包含超链接和其他HTML标签。使用不同类型的交互，包括入站超链接，出站超链接和与基于Web的信息资源相关联的内部链接，用于表征基于Web的信息资源。代表基于Web的信息资源的标签结构的DOM树用于识别可能作为超链接锚文本的上下文有用的文本项，并且锚文本与上下文组合以生成表示。基于互动的基于Web的信息资源的表示可以用于聚类和分类，以及Web挖掘应用程序，如查询消歧和自动分类法生成。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式